* An overview of the Scientific Python (`SciPy`_) ecosystem.
* A short introduction to the `Jupyter notebooks`_ web based interactive computational environment.
* An introduction to `NumPy`_, based on Valentin Haenel's `SciPy 2013
Tutorial`_.
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@@ -27,10 +25,10 @@ stack having five parts:
The participants are encouraged to follow the hands-on parts in their laptops.
For this is enough with just having the `Anaconda`_ Python scientific stack
installed. Installation is straightforward and you can follow eg. this `installation instructions`_.
installed. Installation is straightforward and you can follow eg. this `installation instructions`_. Please use the Python 3 version for your platform.
**Targeted audience**: scientific and technical people interested in scientific
**Targeted audience**: scientific and technical people interested in